scholarly journals Patient characteristics and acute cardiovascular event rates among patients with very high‐risk and non‐very high‐risk atherosclerotic cardiovascular disease

2021 ◽  
Author(s):  
Gregg C. Fonarow ◽  
Mikhail N. Kosiborod ◽  
Pallavi B. Rane ◽  
Sasikiran Nunna ◽  
Guillermo Villa ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
High Risk ◽  
Cardiovascular Event ◽  
Patient Characteristics ◽  
Atherosclerotic Cardiovascular Disease ◽  
Acute Cardiovascular Event ◽  
Event Rates ◽  
Very High

Abstract P019: A Single Model For Predicting Major Adverse Cardiovascular Events In Individuals With And Without History Of Atherosclerotic Cardiovascular Disease: The Atherosclerosis Risk In Communities (aric) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yejin Mok ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Michael J Blaha ◽  
Christie M Ballantyne ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Risk Stratification ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Atherosclerotic Cardiovascular Disease ◽  
Single Model ◽  
History Of ◽  
Very High

Background: In the 2018 AHA/ACC Cholesterol guideline, risk stratification is an essential element. The use of a Pooled Cohort Equation (PCE) is recommended for individuals without atherosclerotic cardiovascular disease (ASCVD), and the new dichotomous classification of very high-risk vs. high-risk has been introduced for patients with ASCVD. These distinct risk stratification systems mainly rely on traditional risk factors, raising the possibility that a single model can predict major adverse cardiovascular events (MACEs) in persons with and without ASCVD. Methods: We studied 11,335 ARIC participants with (n=885) and without (n=10,450) a history of ASCVD (myocardial infarction, ischemic stroke, and symptomatic peripheral artery disease) at baseline (1996-98). We modeled factors in the PCE and the new classification for ASCVD patients (Figure legend) in a single CVD prediction model. We examined their associations with MACEs (myocardial infarction, stroke, and heart failure) using Cox models and evaluated the discrimination and calibration for a single model including those factors. Results: During a median follow-up of 18.4 years, there were 3,658 MACEs (3,105 in participants without ASCVD). In general, the factors in the PCE and the risk classification system for ASCVD patients were associated similarly with MACEs regardless of baseline ASCVD status, although age and systolic blood pressure showed significant interactions. A single model with these predictors and the relevant interaction terms showed good calibration and discrimination for those with and without ASCVD (c-statistic=0.729 and 0.704, respectively) (Figure). Conclusion: A single CVD prediction model performed well in persons with and without ASCVD. This approach will provide a specific predicted risk to ASCVD patients (instead of dichotomy of very high vs. high risk) and eliminate a practice gap between primary vs. secondary prevention due to different risk prediction tools.

scholarly journals ONE-YEAR CARDIOVASCULAR EVENT RATES AMONG MEDICARE ADVANTAGE PATIENTS WITH ATHEROSCLEROTIC CARDIOVASCULAR DISEASE OR DIABETES

2016 ◽  
Vol 67 (13) ◽  
pp. 504
Author(s):  
Shannon Reynolds ◽  
Anthony Louder ◽  
Robert Sanchez ◽  
Crescent Moore ◽  
Nick Patel ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Event ◽  
Atherosclerotic Cardiovascular Disease ◽  
Medicare Advantage ◽  
One Year ◽  
Event Rates

scholarly journals RECURRENT CARDIOVASCULAR EVENT RATES IN A CONTEMPORARY COHORT OF 829,498 ADULTS WITH ATHEROSCLEROTIC CARDIOVASCULAR DISEASE

2017 ◽  
Vol 69 (11) ◽  
pp. 59 ◽  
Author(s):  
Ann Marie Navar ◽  
Dylan Steen ◽  
Daniel Wojdyla ◽  
Robert Sanchez ◽  
Irfan Khan ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Event ◽  
Atherosclerotic Cardiovascular Disease ◽  
Event Rates
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